--- title: "Avian spatial temporal diversity" author: "--- Team nassTea, Monash University" output: flexdashboard::flex_dashboard: orientation: columns vertical_layout: fill self_contained: yes --- Avian spatial temporal diversity

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Metadata

Raw
Bird records - brief version
File size: 6.0 GB unzipped .csv format – (1.3 GB .zip compressed)
Dimensionality: >3,000,000 obs x 9 vars
Available: download.ala.org

Cleaned
File size: 6.0 GB unzipped .rda format – (1.3 GB .zip compressed)
Dimensionality: 2,740,000 obs x 9 vars (drop 4, add 4 date var)

 

Team nassTea
Nick, Abby, Sium, Sayani (Tea, with)

 

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Lesson 1, Start work earlier, work smarter

niave approach

for (i in 1:n_mil) {
  load(... , nrow = 1e6, skip = (i - 1) * 1e6)
  clean()
  filter()
  save(...)
  rm(list = ls()) # Sorry Jenny Bryan, I'll keep an extinguisher handy.
}

load(1:n_mil)
rbind(1:n_mil)
save(...)
rm(list = ls()) # Sorry Jenny Bryan, I'll keep an extinguisher handy.

load(1:n_mil)
sample_n(dat, n = 5000)

Next iteration

  • Put up a mangoDB
  • Bring our dplyr::s
  • ggplot(space, frame=time) %>% plotly::ggplotly()

EDA 1

EDA 2

EDA 3

EDA 4